WO2011008775A2 - System for providing demand response services - Google Patents
System for providing demand response services Download PDFInfo
- Publication number
- WO2011008775A2 WO2011008775A2 PCT/US2010/041852 US2010041852W WO2011008775A2 WO 2011008775 A2 WO2011008775 A2 WO 2011008775A2 US 2010041852 W US2010041852 W US 2010041852W WO 2011008775 A2 WO2011008775 A2 WO 2011008775A2
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- WIPO (PCT)
- Prior art keywords
- demand
- response
- level
- information
- facility
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5083—Techniques for rebalancing the load in a distributed system
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9032—Query formulation
- G06F16/90332—Natural language query formulation or dialogue systems
Definitions
- the invention pertains to utility resources and particularly to assessment and distribution of the resources. More particularly, the invention pertains to beneficial management of resources and their loads.
- the invention is a system for providing demand response services relative to a resource.
- response information may be conveyed by a provider of the resource to a demand response logic.
- the logic may translate the demand response information to one of a pre-defined finite amount or number of demand response levels. These levels may be translated to device states, and in turn the device states may be translated to device commands. The translations may be based on rules which can be easily changed.
- the commands may be provided to devices at one or more facilities.
- the devices may control loads, which consume the resource, in accordance with the device commands.
- the devices may also provide information, such as conditions and resource consumption, relative to the facilities to the provider of the
- the commands and information may be any command and information.
- Figure 1 is a diagram showing an overall
- Figure 2 is a diagram of steps or stages involved in the translation of demand-response related information into device specific commands and messages;
- Figure 3 is a diagram of an incorporation of
- Figure 4 is a diagram illustrating demand-response level translation rules
- FIGS. 5a and 5b are diagrams depicting demand- response level-to-device state translation rules.
- Figures 6a and 6b are diagrams depicting device state-to-command translation.
- the present system may be used to provide demand response services.
- demand response may also be referred to as "DR”, “demand-response”, or other term that reasonably indicates “demand response”.
- DR demand response
- a demand response may be defined as a process wherein a utility, provider or independent system operator
- resource such as electricity
- a focus may be on electricity as an example of the resource in question.
- Facilities may include residences, commercial buildings, industrial facilities, and the like.
- Reasons may include: 1) A shortage of the resource resulting in potential disruption of service; 2) Price fluctuations of the resource in the marketplace; 3) A need to modulate usage to manage a resource distribution network; and 4) a need to shift usage to different time periods with the goal of more efficiently utilizing both the generation and distribution of the resource.
- the present system may support virtually all of the scenarios described herein including other scenarios since the system includes a generalized approach which is not dependent upon a specific reason for initiating a demand-response action.
- information provided by a utility/ISO may include: 1) Resource prices; 2) Specific instructions for shedding a certain amount of the resource; 3) Supply and distribution reliability; and 4) Resource generation attributes .
- the present system useable by customers for
- the utility/ISO may utilize the following items: 1) Communicating devices within facilities that may receive instructions and based upon those
- instructions could change the way in which equipment in the facility consumes the resource; henceforth, the equipment and entities that consume the resource may be referred to as "loads", and examples of such devices that control loads might be intelligent thermostats, lighting controls and appliances; also, the states of these devices and the loads that they control may be affected in some automated fashion by sending commands to the devices which control the loads; and these commands may come from entities outside the facility or come from some sort of control system within the facility itself; 2) Communicating devices within facilities that may measure and report a variety of information concerning the operation of the facility, of which examples can include meters that measure electricity consumption and devices that can report the state of various loads; and 3)
- an intermediary may be separate from the facility and provide a service to take demand- response information provided by the utility/ISO and translate the information into appropriate messages and commands which may be sent to communicating devices within the facility; and in some cases the intermediary may be the utility/ISO itself.
- the present system may focus on a process utilized by a demand-response service provider to translate the demand-response related information provided by the utility/ISO into appropriate commands and messages for specific devices within the facility.
- Architecture 100 may include a
- Architecture 100 may also include a facility/recipient/user/customer (facility) 104 that contains loads which consume the resource provided by the utility/ISO 101. There may be one or more facilities. The loads in facility 104 may be both measured and controlled by a variety of devices 106 within the facility. Each of these devices 106 may be capable of communicating with other devices 106, either amongst themselves or as part of some local area
- communications network 115 within the facility or via some wider or wide area network 105 outside the facility 104.
- Examples of local area communications 115 may include wireless networks such as ZigBeeTM, power line communications, and others.
- the wide area communications may include wireless networks such as ZigBeeTM, power line communications, and others.
- 105 may include examples such as the internet and
- Wide area network 105 may be an approach by which entities outside a facility 104 can communicate with devices 106 within the facilities 104.
- AMI may be regarded as a smart meter that can identify resource consumption in more detail than a conventional meter. It may communicate information via a network back to a local utility for monitoring and/or billing. The meter may also receive information from a utility to issue shed strategies within a consumer' s facility, such as a home.
- each of the devices 106 may communicate via the local area network 115 with some other entity that will proxy communications between the devices and other entities outside the facility 104 over the wide area network 105. Examples of such proxies may be intelligent meters that are part of AMI deployments or other gateways/routers and controllers within the
- the demand-response service provider 102 may take information 103 provided or published by the utility/ISO 101 concerning demand-response actions and facility device data 110, and translate that information and data into appropriate device commands 107 which are sent to the facility 104.
- a purpose of this translation may be for assuring that the facility 104 responds in the most appropriate manner to the demand-response
- a translation process may be provided by the demand- response logic 109.
- Demand-response logic 109 may depend upon a variety of information, including: 1) User
- Facility device data logs 112 that provide information about the state of a facility 104 including things like meter data and device states.
- Facility device data 110 may be provided by facility 104 to the facility device data logs 112. Device data 110, as might be conditioned or
- An output of the demand-response logic 109 may be a set of device specific commands and messages that are communicated to a facility 104 via a communications management approach or module 108 and the network
- the communications management module 108 may know how to send a message to the devices 106 and rely on device communication
- a demand-response information to a device command translator 210 approach or module is shown in a diagram of Figure 2.
- the diagram shows a breakdown of the translation process for turning demand-response
- the translation process may be broken down into a number of steps or stages, each of which can be performed by applying a set of specified rules. By this break-down, virtually the entire process may be
- the translation process may begin with a step or stage 206 which takes the demand-response information 103, the facility device data 110 (as might be
- a step or stage of the translation process may be regarded as a translator.
- the set of rules may be designed to effect a desired output, such as a level 205, from stage 206.
- the demand-response level 205 may be one of a predefined finite set or number of enumerated values or levels 205, such as, for example, normal operation, moderate shed, and high shed, that represents an overall level that a facility 104 should respond to.
- the levels may include a level to which a facility should try to reduce its consumption in very simple qualitative terms, even though the level is not necessarily a
- a finite collection or number may mean a reasonably manageable amount or number. Examples may be 2, 3, 10, and so on. Finite does not necessarily mean just short of infinite which could indicate an
- the next step or stage of the translation process may be depicted by item 207 and take the finite set or number of one or more demand-response levels 205 and translate one or more of them into a device specific state 203 or states 203.
- This translation step or stage may utilize the facility device data 110 and a user defined device configuration 204 from a device
- the device state 203 may represent the state that device 106 should be in.
- a final translation step or stage may be depicted by a device state to device command translation 201 and may take a desired device state 203 and create a set of one or more device specific commands 107 by utilizing the type specific device configuration 202 from device configurations 113.
- An output of this step or stage may be the set of device specific commands 107 that can be communicated to device 106 within facility 104.
- Level 205 may set a value which is carried
- Provider 102 may include steps or stages 206, 207 and 201 of the translation process (e.g., translators 206, 207 and 201) that adapt level 205, in accordance with facility device data 110, user defined device configuration 204, type specific device configuration 202, and other items as needed, for providing appropriate device commands 107 to devices 106.
- steps or stages 206, 207 and 201 of the translation process e.g., translators 206, 207 and 201
- the translation process e.g., translators 206, 207 and 201
- Steps or stages 206, 207 and 201 of the translation process may be based on rules.
- the rules may be designed for one or more scenarios for usage of he one or more resources .
- the device commands 107 may be transmitted to device 106 using the message delivery infrastructure 208.
- the message delivery infrastructure 208 or communications module 208 may incorporate portions of communications management 108, device communication configurations 111, network communications infrastructure 105 and local communications network 115 as shown in Figure 1.
- Figure 3 is a diagram of demand response logic 109 for providing command messages 107 to a multitude of devices 106 via the message delivery infrastructure 105. Incorporating facility wide requirements may be noted.
- Figure 2 shows the translation process as it may be applied to a specific device 106
- Figure 3 depicts the translation process as it might be applied to virtually all of the devices 106 within a facility 104. The process may also be applied to a multitude of facilities 104.
- a difference in this process appears to be an addition of user defined facility wide constraints 302 (e.g., maximum demand-response level) that are used by a constraint filter 301, which may constrain an event state or demand-response level 205 from the translate demand- response information to one of a number of finite event states (demand response levels) 206 which receives demand-response information 103 and facility device data 110, to produce demand-response levels 303 that take into account a facility 104 as a whole.
- a facility owner may decide that, regardless of the demand- response level which is indicated by the translation step or stage 206 of demand response logic 109, the facility will not necessarily respond above a certain level, including not at all.
- each of the specific devices 106 may now be differentiated and receive its own version of the demand-response level.
- the facility wide demand response signals 303 may progress through the respective device demand-response level to device state translator 207 which outputs device specific states 203.
- the states 203 may go to a type device state to device command translator 201 which outputs command messages 107 to the respective device 106 of a facility 104.
- Figure 4 illustrates an approach 206 for translating demand-response information 103 and facility device data 110 to one or more demand-response levels 205.
- the demand-response levels 205 may represent a finite set of simple qualitative states, the task of converting the demand-response information 103 may be simplified.
- Each possible state of a demand-response level 205 may be associated with an elegant set of logical rules in translator 401 that takes into account the various sources, utility/ISO 101 and facility device data logs demand-response information 103, the date and time, facility device data 110, such as meter information, and additional user defined parameters, including possibly whether to opt out of responding to demand-response actions .
- Sources 101 and 112 of information 103 and 110 may allow a specification of a rich set of rules that are easy to specify and construct user interfaces to aid in the specification process.
- the translation approach 206 is shown in a diagram of Figure 4. These rules may be specified either by a facility owner or by the demand-response services provider on behalf of the facility owner. These rules may be easily drafted, changed or redone by nearly anyone to suit a need or intent of the recipient and/or provider of the demand- response services. The rules may be a basis for
- DR Level MODERATE If (start_time ⁇ DR data/time ⁇ end_time) AND
- DR Level NORMAL
- a basis of translator 207 may be a set of rules. These rules may be easily drafted, changed or redone by nearly anyone to suit a need or intent of the recipient and/or provider of the demand-response
- facility wide demand-response levels 303 may be input in lieu of demand-response levels 205 to translators 207 ( Figure 3).
- Each device 106 may be a specific type and the type of the device will dictate the set of device states that the device may be in.
- Figure 5a shows one set of rules 505 of the device demand-response level to device state translator 207, for a device such as a switch with a simple ON or OFF state.
- the rules shown in translator 501 depict example rules when to turn on or off the switch represented by device X.
- the rules cited as an instance in Figure 5a may state the following.
- Figure 5b shows another set of rules 506 indicating how a different device type could have a different set of possible device states.
- the rules of another device demand-response level to device state translator 207 may be for a thermostat that may have temperature set points as its state.
- the rules shown in translator 502 depict example rules that dictate how much to turn up or down the thermostat represented by device Y.
- the process of translating those into specific device states 503, 504, respectively, may also be relatively simple and include things such as date and time.
- the rules may consist of a set of easy to specify logical operations.
- the levels may also simplify a task of constructing user interfaces to aid in the rule specification process.
- the rules may be specified either by the facility owner or by the demand-response services provider on behalf of the facility owner.
- the rules cited as an instance in Figure 5b may state the
- Translating device states to device commands may be noted.
- a basis of translator 201 may be a set of rules. These rules may be easily drafted, changed or redone by nearly anyone to suit a need or intent of the recipient and/or provider of the demand-response services.
- a final step in the translation process at items 201 may be to convert the device states 503, 504 into device specific commands 605, 606 to example devices X and Y, respectively, with rules 603, 604, translators 601 and 602. This step does not necessarily require that the user pre-specify any rules, since the step may be virtually completely dependent upon the device type.
- each type of device 106 may have a type specific device configuration (202 in Figure 2) that specifies a set of possible device states and fixed rules for converting or translating device states to device commands.
- switch A may support a set of generic service types such as "switch” or “thermostat” that may be translated into specific device commands, depending upon how a specific device in the facility is implemented.
- switch A may support a set of generic service types such as "switch” or “thermostat” that may be translated into specific device commands, depending upon how a specific device in the facility is implemented.
- switch A may support a set of generic service types such as "switch” or "thermostat”
- the translation process in this step at item 201 may be dependent upon the specific device that exists within the facility.
- An example of contents for translator 601 may state the following.
- CHANGE_SETTING number of degrees In the present specification, some of the matter may be of a hypothetical or prophetic nature although stated in another manner or tense.
Abstract
Description
Claims
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
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CN201080041415.3A CN102483735B (en) | 2009-07-17 | 2010-07-13 | For the system of demand response service is provided |
IN484DEN2012 IN2012DN00484A (en) | 2009-07-17 | 2012-01-17 |
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
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US27108409P | 2009-07-17 | 2009-07-17 | |
US61/271,084 | 2009-07-17 | ||
US12/834,841 US8671167B2 (en) | 2009-07-17 | 2010-07-12 | System for providing demand response services |
US12/834,841 | 2010-07-12 |
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WO2011008775A2 true WO2011008775A2 (en) | 2011-01-20 |
WO2011008775A3 WO2011008775A3 (en) | 2011-04-28 |
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PCT/US2010/041852 WO2011008775A2 (en) | 2009-07-17 | 2010-07-13 | System for providing demand response services |
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US (1) | US8671167B2 (en) |
CN (2) | CN105786627B (en) |
IN (1) | IN2012DN00484A (en) |
WO (1) | WO2011008775A2 (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB2525974A (en) * | 2014-03-25 | 2015-11-11 | Honeywell Int Inc | A system for propagating messages for purposes of demand response |
US9691076B2 (en) | 2013-07-11 | 2017-06-27 | Honeywell International Inc. | Demand response system having a participation predictor |
US9818073B2 (en) | 2009-07-17 | 2017-11-14 | Honeywell International Inc. | Demand response management system |
US9989937B2 (en) | 2013-07-11 | 2018-06-05 | Honeywell International Inc. | Predicting responses of resources to demand response signals and having comfortable demand responses |
US10346931B2 (en) | 2013-07-11 | 2019-07-09 | Honeywell International Inc. | Arrangement for communicating demand response resource incentives |
US10521867B2 (en) | 2012-09-15 | 2019-12-31 | Honeywell International Inc. | Decision support system based on energy markets |
US10541556B2 (en) | 2017-04-27 | 2020-01-21 | Honeywell International Inc. | System and approach to integrate and manage diverse demand response specifications for multi-site enterprises |
Families Citing this family (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8073558B2 (en) | 2007-10-05 | 2011-12-06 | Honeywell International Inc | Critical resource notification system and interface device |
US8676953B2 (en) | 2009-07-17 | 2014-03-18 | Honeywell International Inc. | Use of aggregated groups for managing demand response resources |
US8782190B2 (en) * | 2009-07-17 | 2014-07-15 | Honeywell International, Inc. | Demand response management system |
US8572230B2 (en) * | 2009-07-17 | 2013-10-29 | Honeywell International Inc. | System for using attributes to deploy demand response resources |
US8667132B2 (en) | 2009-07-17 | 2014-03-04 | Honeywell International Inc. | Arrangement for communication about and management of a resource using a mobile device |
US8671191B2 (en) | 2009-07-17 | 2014-03-11 | Honeywell International Inc. | Installation system for demand response resources |
US9137050B2 (en) | 2009-07-17 | 2015-09-15 | Honeywell International Inc. | Demand response system incorporating a graphical processing unit |
US9124535B2 (en) | 2009-07-17 | 2015-09-01 | Honeywell International Inc. | System for using attributes to deploy demand response resources |
KR20110099542A (en) * | 2010-03-02 | 2011-09-08 | 삼성전자주식회사 | Demand response system |
KR20110119324A (en) * | 2010-04-27 | 2011-11-02 | 엘지전자 주식회사 | A smart control device |
KR101749761B1 (en) * | 2010-12-15 | 2017-06-22 | 한국전자통신연구원 | Load control apparatus and method for advanced metering infrastructure network |
US20120053746A1 (en) * | 2011-01-03 | 2012-03-01 | General Electric Company | Smart energy device reporting "opt-out" autonomously depending on user settings |
US8630744B2 (en) | 2011-01-28 | 2014-01-14 | Honeywell International Inc. | Management and monitoring of automated demand response in a multi-site enterprise |
US8626354B2 (en) | 2011-01-28 | 2014-01-07 | Honeywell International Inc. | Approach for normalizing automated demand response events in energy management control systems |
US9153001B2 (en) | 2011-01-28 | 2015-10-06 | Honeywell International Inc. | Approach for managing distribution of automated demand response events in a multi-site enterprise |
US9310786B2 (en) | 2011-06-17 | 2016-04-12 | Siemens Industry, Inc. | Automated demand response scheduling to reduce electrical loads |
US9140576B2 (en) | 2012-01-23 | 2015-09-22 | General Electric Company | Demand response without Time-of-Use metering |
US9389850B2 (en) | 2012-11-29 | 2016-07-12 | Honeywell International Inc. | System and approach to manage versioning of field devices in a multi-site enterprise |
US9748770B2 (en) | 2012-12-07 | 2017-08-29 | Battelle Memorial Institute | Using demand side resources to provide frequency regulation |
US20150005968A1 (en) * | 2013-07-01 | 2015-01-01 | Enernoc, Inc. | Apparatus and method for determining device participation in an energy management program |
US20150019037A1 (en) * | 2013-07-11 | 2015-01-15 | Honeywell International Inc. | System having customer defined demand response signals |
CA2923930C (en) | 2015-03-19 | 2019-09-17 | Battelle Memorial Institute | Primary frequency control through simulated droop control with electric loads |
EP3301572B1 (en) * | 2016-09-30 | 2023-05-24 | Dassault Systèmes | Method, program and system for simulating a 3d scene with a set of computing resources running in parallel |
US10879698B2 (en) * | 2017-11-30 | 2020-12-29 | Abb Schweiz Ag | Systems and methods for performing building power management |
US11403254B2 (en) * | 2018-08-16 | 2022-08-02 | Tachyum Ltd. | System and method for populating multiple instruction words |
CN109447456B (en) * | 2018-10-24 | 2022-07-22 | 国网四川省电力公司南充供电公司 | Wind power grid-connected power system planning method considering short-term demand response |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040078154A1 (en) * | 2001-06-28 | 2004-04-22 | Hunter Robert R. | Method and apparatus for reading and controlling utility consumption |
US20080167931A1 (en) * | 2007-01-04 | 2008-07-10 | Richard Allen Gerstemeier | Community resource management systems and methods |
US20080172312A1 (en) * | 2006-09-25 | 2008-07-17 | Andreas Joanni Synesiou | System and method for resource management |
WO2009085610A2 (en) * | 2007-12-19 | 2009-07-09 | Aclara Power-Line Systems Inc. | Achieving energy demand response using price signals and a load control transponder |
Family Cites Families (138)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4110827A (en) | 1976-10-29 | 1978-08-29 | Honeywell Inc. | Load cycling with space temperature feedback |
US4130874A (en) | 1977-06-13 | 1978-12-19 | Westinghouse Electric Corp. | Load management terminal having plural selectable address formats for a power line communication system |
US4153936A (en) | 1977-09-26 | 1979-05-08 | Reliance Electric Company | Energy management system |
US4419667A (en) | 1979-07-02 | 1983-12-06 | Sangamo Weston, Inc. | System for controlling power distribution to customer loads |
US4850010A (en) | 1985-11-25 | 1989-07-18 | Alcatel N.V. | Telemetry terminal |
US5341142A (en) * | 1987-07-24 | 1994-08-23 | Northrop Grumman Corporation | Target acquisition and tracking system |
US4937760A (en) * | 1988-09-19 | 1990-06-26 | International Business Machines Corporation | Method for sharing common values implicitly among communicating generative objects |
US5500561A (en) | 1991-01-08 | 1996-03-19 | Wilhelm; William G. | Customer side power management system and method |
CA2116168A1 (en) | 1993-03-02 | 1994-09-03 | Gregory Cmar | Process for identifying patterns of electric energy consumption and demand in a facility, predicting and verifying the effects of proposed changes, and implementing such changes in the facility to conserve energy |
US6574581B1 (en) | 1994-10-25 | 2003-06-03 | Honeywell International Inc. | Profile based method for deriving a temperature setpoint using a ‘delta’ based on cross-indexing a received price-point level signal |
US5598349A (en) | 1994-10-25 | 1997-01-28 | Honeywell Inc. | Responding to pricing signals from a power supplier using mixed add/shed and profile setback delta schemes |
CA2162200A1 (en) | 1994-11-23 | 1996-05-24 | Gagan Lal Choudhury | Efficiently providing multiple grades of service with protection against overloads in shared resources |
US5572438A (en) | 1995-01-05 | 1996-11-05 | Teco Energy Management Services | Engery management and building automation system |
US5822553A (en) | 1996-03-13 | 1998-10-13 | Diamond Multimedia Systems, Inc. | Multiple parallel digital data stream channel controller architecture |
US5892758A (en) | 1996-07-11 | 1999-04-06 | Qualcomm Incorporated | Concentrated subscriber wireless remote telemetry system |
US5886995A (en) | 1996-09-05 | 1999-03-23 | Hughes Electronics Corporation | Dynamic mapping of broadcast resources |
JP3821537B2 (en) | 1997-05-20 | 2006-09-13 | 富士通株式会社 | Data communication system |
US7010700B1 (en) * | 1997-10-31 | 2006-03-07 | Cisco Technology, Inc. | Data scanning network security technique |
US6209018B1 (en) | 1997-11-13 | 2001-03-27 | Sun Microsystems, Inc. | Service framework for a distributed object network system |
US6026375A (en) | 1997-12-05 | 2000-02-15 | Nortel Networks Corporation | Method and apparatus for processing orders from customers in a mobile environment |
US6195367B1 (en) | 1997-12-31 | 2001-02-27 | Nortel Networks Limited | Architectural arrangement for bandwidth management in large central offices |
US6289384B1 (en) | 1998-06-05 | 2001-09-11 | I2 Technologies, Inc. | System and method for event notification through a firewall |
US6252950B1 (en) | 1998-09-30 | 2001-06-26 | Lucent Technologies Inc. | Predictive bursty real-time traffic control for telecommunications switching systems |
US6366926B1 (en) | 1998-12-31 | 2002-04-02 | Computer Associates Think, Inc. | Method and apparatus for the dynamic filtering and routing of events |
US6446136B1 (en) | 1998-12-31 | 2002-09-03 | Computer Associates Think, Inc. | System and method for dynamic correlation of events |
US6529723B1 (en) | 1999-07-06 | 2003-03-04 | Televoke, Inc. | Automated user notification system |
US7891004B1 (en) | 1999-10-06 | 2011-02-15 | Gelvin David C | Method for vehicle internetworks |
AUPQ539700A0 (en) * | 2000-02-02 | 2000-02-24 | Worldlingo.Com Pty Ltd | Translation ordering system |
US6832249B2 (en) | 2000-05-19 | 2004-12-14 | Intellectual Ventures Patent Holdings Iii, Llc | Globally accessible computer network-based broadband communication system with user-controllable quality of information delivery and flow priority |
US6519509B1 (en) | 2000-06-22 | 2003-02-11 | Stonewater Software, Inc. | System and method for monitoring and controlling energy distribution |
US7069309B1 (en) | 2000-10-19 | 2006-06-27 | Cisco Technology, Inc. | Apparatus and methods for requesting an event notification over a network |
US7142939B2 (en) | 2001-01-10 | 2006-11-28 | Matsushita Electric Industrial Co., Ltd. | Component mounter, service supplier, and service supplying method |
US20030016237A1 (en) * | 2001-03-08 | 2003-01-23 | Neil Hickey | System for and method of emulating a database system |
US6865685B2 (en) | 2001-03-20 | 2005-03-08 | American Power Conversion | Power supply event notification system for sending an electronic notification to multiple destinations |
US7027400B2 (en) | 2001-06-26 | 2006-04-11 | Flarion Technologies, Inc. | Messages and control methods for controlling resource allocation and flow admission control in a mobile communications system |
US20030033230A1 (en) | 2001-08-06 | 2003-02-13 | Mccall John E. | Method and system for presenting customized advisory information |
US7260616B1 (en) | 2001-08-13 | 2007-08-21 | Sprint Communications Company L.P. | Communication hub with automatic device registration |
US8489063B2 (en) | 2001-10-24 | 2013-07-16 | Sipco, Llc | Systems and methods for providing emergency messages to a mobile device |
EP1454270A4 (en) * | 2001-11-21 | 2007-07-04 | Enterasys Networks Inc | Translating configuration files among network devices |
US7585670B2 (en) | 2001-12-07 | 2009-09-08 | Cytori Therapeutics, Inc. | Automated methods for isolating and using clinically safe adipose derived regenerative cells |
US20050095228A1 (en) | 2001-12-07 | 2005-05-05 | Fraser John K. | Methods of using regenerative cells in the treatment of peripheral vascular disease and related disorders |
US6985087B2 (en) | 2002-03-15 | 2006-01-10 | Qualcomm Inc. | Method and apparatus for wireless remote telemetry using ad-hoc networks |
US7424268B2 (en) | 2002-04-22 | 2008-09-09 | Cisco Technology, Inc. | System and method for management of a shared frequency band |
EP1501582A4 (en) | 2002-04-24 | 2009-03-25 | Interpore Orthopaedics Inc | Blood separation and concentration system |
US7318414B2 (en) | 2002-05-10 | 2008-01-15 | Tmc Company | Constant-speed multi-pressure fuel injection system for improved dynamic range in internal combustion engine |
CA2388895C (en) | 2002-06-04 | 2008-11-18 | Global Sensor Systems Inc. | A billing system and method for determining transportation charges for packages |
US20040034484A1 (en) | 2002-06-24 | 2004-02-19 | Solomita Michael V. | Demand-response energy management system |
US6566926B1 (en) | 2002-06-25 | 2003-05-20 | Intel Corporation | Hysteretic self-biased amplifier |
EP1385277B1 (en) | 2002-07-22 | 2005-06-08 | Agilent Technologies, Inc. - a Delaware corporation - | Transmission of supervisory data in an optical communication system |
US20040203649A1 (en) | 2002-07-22 | 2004-10-14 | Cashiola James P. | System and method for rating communications services provisioned on demand in converging telecommunications networks |
US20070222295A1 (en) | 2002-09-05 | 2007-09-27 | Paul Wareham | System and method for power load management |
US7337237B2 (en) | 2002-10-16 | 2008-02-26 | International Business Machines Corporation | Mechanism to provide callback capabilities for unreachable network clients |
US7333880B2 (en) | 2002-12-09 | 2008-02-19 | Enernoc, Inc. | Aggregation of distributed energy resources |
US20040137897A1 (en) | 2003-05-06 | 2004-07-15 | Joe Teixeira | Flow-through using an automated main distribution frame |
US20050027636A1 (en) | 2003-07-29 | 2005-02-03 | Joel Gilbert | Method and apparatus for trading energy commitments |
US7702424B2 (en) | 2003-08-20 | 2010-04-20 | Cannon Technologies, Inc. | Utility load control management communications protocol |
US7379884B2 (en) * | 2003-09-11 | 2008-05-27 | International Business Machines Corporation | Power on demand tiered response time pricing |
US8234876B2 (en) | 2003-10-15 | 2012-08-07 | Ice Energy, Inc. | Utility managed virtual power plant utilizing aggregated thermal energy storage |
JP3992195B2 (en) * | 2003-11-26 | 2007-10-17 | 株式会社日立製作所 | Air conditioner |
CA2451421A1 (en) | 2003-11-28 | 2005-05-28 | Globestar Systems | Event management system |
US7310722B2 (en) | 2003-12-18 | 2007-12-18 | Nvidia Corporation | Across-thread out of order instruction dispatch in a multithreaded graphics processor |
US7707039B2 (en) | 2004-02-15 | 2010-04-27 | Exbiblio B.V. | Automatic modification of web pages |
US20050194456A1 (en) | 2004-03-02 | 2005-09-08 | Tessier Patrick C. | Wireless controller with gateway |
US20050229220A1 (en) | 2004-04-06 | 2005-10-13 | William Fisher | System and method for interactive video services |
GB0410724D0 (en) | 2004-05-13 | 2004-06-16 | Watkins Daniel R | Authorisation system |
US7603570B2 (en) * | 2004-05-13 | 2009-10-13 | Cisco Technology, Inc. | Power delivery over ethernet cables |
US7787494B1 (en) | 2004-12-07 | 2010-08-31 | Nortel Networks Limited | Method and apparatus for assigning and allocating network resources to packet-based virtual private networks |
EP1679867A1 (en) * | 2005-01-06 | 2006-07-12 | Orange SA | Customisation of VoiceXML Application |
US20070005195A1 (en) | 2005-01-10 | 2007-01-04 | Nicholas Pasquale | Distributed energy storage for reducing power demand |
WO2006096854A2 (en) | 2005-03-08 | 2006-09-14 | E-Radio Usa, Inc. | Systems and methods for modifying power usage |
US7528503B2 (en) | 2005-07-22 | 2009-05-05 | Cannon Technologies, Inc. | Load shedding control for cycled or variable load appliances |
CA2628830A1 (en) | 2005-11-17 | 2007-07-12 | Silver Spring Networks, Inc. | Method and system for providing a network protocol for utility services |
AU2007217832A1 (en) | 2006-02-21 | 2007-08-30 | Dynamic Intelligence Inc. | Transportation scheduling system |
US7392115B2 (en) | 2006-03-01 | 2008-06-24 | Honeywell International Inc. | Characterization of utility demand using utility demand footprint |
ITMI20060599A1 (en) | 2006-03-30 | 2007-09-30 | Eldor Corp Spa | METHOD AND DEVICES FOR THE CONTROL OF THE AIR-COMBUSTIBILR REPORT OF AN INTERNAL COMBUSTION ENGINE |
US8327024B2 (en) | 2006-04-29 | 2012-12-04 | 724 Solutions Software, Inc. | System and method for SMS/IP interoperability |
US8373547B2 (en) | 2006-05-25 | 2013-02-12 | Nev Electronics Llc | Method and apparatus for using power-line phase-cut signaling to change energy usage |
US20070282984A1 (en) * | 2006-06-05 | 2007-12-06 | Doyle Ronald P | Autonomic web services pricing management |
US8799639B2 (en) * | 2006-07-25 | 2014-08-05 | Intuit Inc. | Method and apparatus for converting authentication-tokens to facilitate interactions between applications |
US20080177678A1 (en) | 2007-01-24 | 2008-07-24 | Paul Di Martini | Method of communicating between a utility and its customer locations |
US7865252B2 (en) * | 2007-01-26 | 2011-01-04 | Autani Corporation | Upgradeable automation devices, systems, architectures, and methods |
US8406937B2 (en) | 2008-03-27 | 2013-03-26 | Orion Energy Systems, Inc. | System and method for reducing peak and off-peak electricity demand by monitoring, controlling and metering high intensity fluorescent lighting in a facility |
US7845576B2 (en) | 2007-06-28 | 2010-12-07 | Honeywell International Inc. | Thermostat with fixed segment display having both fixed segment icons and a variable text display capacity |
US7954726B2 (en) | 2007-06-28 | 2011-06-07 | Honeywell International Inc. | Thermostat with utility messaging |
US8091794B2 (en) | 2007-06-28 | 2012-01-10 | Honeywell International Inc. | Thermostat with usage history |
US7565227B2 (en) | 2007-08-15 | 2009-07-21 | Constellation Energy Group, Inc. | Multi-building control for demand response power usage control |
WO2009036439A2 (en) * | 2007-09-13 | 2009-03-19 | Gridpoint, Inc. | User interface for demand side energy management |
US8073558B2 (en) | 2007-10-05 | 2011-12-06 | Honeywell International Inc | Critical resource notification system and interface device |
US7941528B2 (en) | 2007-10-11 | 2011-05-10 | At&T Intellectual Property I, L.P. | Methods, systems and computer program products for providing a multimedia applications gateway |
US20090187499A1 (en) | 2008-01-21 | 2009-07-23 | David Mulder | System, Method and Computer Program Product for Providing Demand Response Functionality |
KR100960503B1 (en) | 2008-02-05 | 2010-06-01 | 엘에스산전 주식회사 | Electronic smart meter enabling demand response and method for demand response |
US7958229B2 (en) | 2008-03-31 | 2011-06-07 | Verizon Patent And Licensing Inc. | Method and system for energy efficient routing and network services |
WO2009129232A1 (en) | 2008-04-14 | 2009-10-22 | Digital Lumens Incorporated | Modular lighting systems |
US20090271255A1 (en) | 2008-04-24 | 2009-10-29 | Microsoft Corporation | Commerce and advertisement based on explicit consumer's value cost proposition |
SG10201606766QA (en) | 2008-05-09 | 2016-10-28 | Accenture Global Services Ltd | Method and system for managing a power grid |
US20130035992A1 (en) | 2008-05-27 | 2013-02-07 | Kaspar Llc | Method and system for the more efficient utilization and conservation of energy and water resources |
US20100076835A1 (en) | 2008-05-27 | 2010-03-25 | Lawrence Silverman | Variable incentive and virtual market system |
US20100114340A1 (en) | 2008-06-02 | 2010-05-06 | Charles Huizenga | Automatic provisioning of wireless control systems |
KR20090126104A (en) | 2008-06-03 | 2009-12-08 | 서울대학교산학협력단 | Method and system for demand response of electric power |
US20090313083A1 (en) | 2008-06-13 | 2009-12-17 | Honeywell International Inc. | Renewable energy calculator |
US8600571B2 (en) | 2008-06-19 | 2013-12-03 | Honeywell International Inc. | Energy optimization system |
WO2010008479A2 (en) | 2008-06-25 | 2010-01-21 | Versify Solutions, Llc | Aggregator, monitor, and manager of distributed demand response |
US20100057480A1 (en) | 2008-08-27 | 2010-03-04 | David Arfin | Energy Services |
GB0816721D0 (en) | 2008-09-13 | 2008-10-22 | Daniel Simon R | Systems,devices and methods for electricity provision,usage monitoring,analysis and enabling improvements in efficiency |
US8412654B2 (en) | 2008-10-08 | 2013-04-02 | Rey Montalvo | Method and system for fully automated energy curtailment |
US8291243B2 (en) | 2008-10-24 | 2012-10-16 | International Business Machines Corporation | Adaptive computing responsive to environmental conditions |
US20110093493A1 (en) | 2008-10-28 | 2011-04-21 | Honeywell International Inc. | Building management system site categories |
US20100106543A1 (en) | 2008-10-28 | 2010-04-29 | Honeywell International Inc. | Building management configuration system |
KR101022574B1 (en) | 2008-10-28 | 2011-03-16 | 한국전력공사 | Day-Ahead Load Reduction System Based on Customer Baseline Load |
US7778738B2 (en) | 2009-02-11 | 2010-08-17 | Accenture Global Services Gmbh | Method and system for reducing feeder circuit loss using demand response |
US20110040666A1 (en) | 2009-08-17 | 2011-02-17 | Jason Crabtree | Dynamic pricing system and method for complex energy securities |
US8352094B2 (en) * | 2009-03-17 | 2013-01-08 | Palo Alto Research Center Incorporated | Technique for aggregating loads with time-varying operating cycles |
US9406036B2 (en) | 2009-04-24 | 2016-08-02 | Rockwell Automation Technologies, Inc. | Discrete energy assignments for manufacturing specifications |
CA2761416C (en) | 2009-05-08 | 2021-01-19 | Accenture Global Services Limited | Building energy consumption analysis system |
US20100138363A1 (en) | 2009-06-12 | 2010-06-03 | Microsoft Corporation | Smart grid price response service for dynamically balancing energy supply and demand |
US8600556B2 (en) | 2009-06-22 | 2013-12-03 | Johnson Controls Technology Company | Smart building manager |
US8572230B2 (en) | 2009-07-17 | 2013-10-29 | Honeywell International Inc. | System for using attributes to deploy demand response resources |
US8667132B2 (en) | 2009-07-17 | 2014-03-04 | Honeywell International Inc. | Arrangement for communication about and management of a resource using a mobile device |
US9137050B2 (en) | 2009-07-17 | 2015-09-15 | Honeywell International Inc. | Demand response system incorporating a graphical processing unit |
US8676953B2 (en) | 2009-07-17 | 2014-03-18 | Honeywell International Inc. | Use of aggregated groups for managing demand response resources |
US8671191B2 (en) | 2009-07-17 | 2014-03-11 | Honeywell International Inc. | Installation system for demand response resources |
US8626344B2 (en) | 2009-08-21 | 2014-01-07 | Allure Energy, Inc. | Energy management system and method |
US8620634B2 (en) | 2009-07-24 | 2013-12-31 | Honeywell International Inc. | Energy resource allocation including renewable energy sources |
US20110046805A1 (en) | 2009-08-18 | 2011-02-24 | Honeywell International Inc. | Context-aware smart home energy manager |
US20110113068A1 (en) | 2009-11-12 | 2011-05-12 | Xinfang Zhao | System and method for managing multiple user registrations |
US20110231320A1 (en) | 2009-12-22 | 2011-09-22 | Irving Gary W | Energy management systems and methods |
US8543247B2 (en) | 2010-01-08 | 2013-09-24 | International Business Machines Corporation | Power profile management method and system |
US8738190B2 (en) | 2010-01-08 | 2014-05-27 | Rockwell Automation Technologies, Inc. | Industrial control energy object |
KR20130009754A (en) | 2010-02-01 | 2013-01-23 | 점프탭, 인크. | Integrated advertising system |
US9847644B2 (en) | 2010-02-09 | 2017-12-19 | Open Access Technology International, Inc. | Systems and methods for demand response and distributed energy resource management |
US20110196539A1 (en) | 2010-02-10 | 2011-08-11 | Honeywell International Inc. | Multi-site controller batch update system |
US8626354B2 (en) | 2011-01-28 | 2014-01-07 | Honeywell International Inc. | Approach for normalizing automated demand response events in energy management control systems |
US8630744B2 (en) | 2011-01-28 | 2014-01-14 | Honeywell International Inc. | Management and monitoring of automated demand response in a multi-site enterprise |
US9153001B2 (en) | 2011-01-28 | 2015-10-06 | Honeywell International Inc. | Approach for managing distribution of automated demand response events in a multi-site enterprise |
US20120245968A1 (en) | 2011-03-21 | 2012-09-27 | Honeywell International Inc. | Building system control and equipment fault and degradation monetization and prioritization |
US20130079931A1 (en) | 2011-09-26 | 2013-03-28 | Mohan Wanchoo | Method and system to monitor and control energy |
US8417391B1 (en) | 2011-12-15 | 2013-04-09 | Restore Nv | Automated demand response energy management system |
US20120109399A1 (en) | 2012-01-01 | 2012-05-03 | Bao Tran | Energy resource conservation systems and methods |
-
2010
- 2010-07-12 US US12/834,841 patent/US8671167B2/en active Active
- 2010-07-13 CN CN201610233078.7A patent/CN105786627B/en not_active Expired - Fee Related
- 2010-07-13 WO PCT/US2010/041852 patent/WO2011008775A2/en active Application Filing
- 2010-07-13 CN CN201080041415.3A patent/CN102483735B/en not_active Expired - Fee Related
-
2012
- 2012-01-17 IN IN484DEN2012 patent/IN2012DN00484A/en unknown
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040078154A1 (en) * | 2001-06-28 | 2004-04-22 | Hunter Robert R. | Method and apparatus for reading and controlling utility consumption |
US20080172312A1 (en) * | 2006-09-25 | 2008-07-17 | Andreas Joanni Synesiou | System and method for resource management |
US20080167931A1 (en) * | 2007-01-04 | 2008-07-10 | Richard Allen Gerstemeier | Community resource management systems and methods |
WO2009085610A2 (en) * | 2007-12-19 | 2009-07-09 | Aclara Power-Line Systems Inc. | Achieving energy demand response using price signals and a load control transponder |
Cited By (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9818073B2 (en) | 2009-07-17 | 2017-11-14 | Honeywell International Inc. | Demand response management system |
US10762454B2 (en) | 2009-07-17 | 2020-09-01 | Honeywell International Inc. | Demand response management system |
US10521867B2 (en) | 2012-09-15 | 2019-12-31 | Honeywell International Inc. | Decision support system based on energy markets |
US9989937B2 (en) | 2013-07-11 | 2018-06-05 | Honeywell International Inc. | Predicting responses of resources to demand response signals and having comfortable demand responses |
US9691076B2 (en) | 2013-07-11 | 2017-06-27 | Honeywell International Inc. | Demand response system having a participation predictor |
US10346931B2 (en) | 2013-07-11 | 2019-07-09 | Honeywell International Inc. | Arrangement for communicating demand response resource incentives |
US10467639B2 (en) | 2013-07-11 | 2019-11-05 | Honeywell International Inc. | Demand response system having a participation predictor |
US10948885B2 (en) | 2013-07-11 | 2021-03-16 | Honeywell International Inc. | Predicting responses of resources to demand response signals and having comfortable demand responses |
GB2549684A (en) * | 2014-03-25 | 2017-10-25 | Honeywell Int Inc | A system for propagating messages for purposes of demand response |
GB2525974A (en) * | 2014-03-25 | 2015-11-11 | Honeywell Int Inc | A system for propagating messages for purposes of demand response |
GB2549684B (en) * | 2014-03-25 | 2018-09-12 | Honeywell Int Inc | A system for propagating messages for purposes of demand response |
US10324429B2 (en) | 2014-03-25 | 2019-06-18 | Honeywell International Inc. | System for propagating messages for purposes of demand response |
US9665078B2 (en) | 2014-03-25 | 2017-05-30 | Honeywell International Inc. | System for propagating messages for purposes of demand response |
GB2525974B (en) * | 2014-03-25 | 2016-12-21 | Honeywell Int Inc | A system for propagating messages for purposes of demand response |
US10541556B2 (en) | 2017-04-27 | 2020-01-21 | Honeywell International Inc. | System and approach to integrate and manage diverse demand response specifications for multi-site enterprises |
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WO2011008775A3 (en) | 2011-04-28 |
CN102483735A (en) | 2012-05-30 |
CN102483735B (en) | 2016-05-18 |
IN2012DN00484A (en) | 2015-06-05 |
US8671167B2 (en) | 2014-03-11 |
US20110016200A1 (en) | 2011-01-20 |
CN105786627B (en) | 2019-08-23 |
CN105786627A (en) | 2016-07-20 |
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